Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Zhang, Cairong"'
This paper aims to achieve universal segmentation of arbitrary semantic level. Despite significant progress in recent years, specialist segmentation approaches are limited to specific tasks and data distribution. Retraining a new model for adaptation
Externí odkaz:
http://arxiv.org/abs/2312.01623
Autor:
Zhao, Rui, Ran, Lingxiang, Yao, Hanyue, He, Yizhi, Lu, Xinru, Zhu, Weina, Zhang, Yajie, Zhang, Tianyi, Shi, Shijie, Luo, Zheng, Zhang, Cairong
Publikováno v:
In Journal of Steroid Biochemistry and Molecular Biology September 2024 242
Publikováno v:
In Next Materials January 2025 6
In human-computer interaction, it is important to accurately estimate the hand pose especially fingertips. However, traditional approaches for fingertip localization mainly rely on depth images and thus suffer considerably from the noise and missing
Externí odkaz:
http://arxiv.org/abs/1902.09795
Akademický článek
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Publikováno v:
Visual Communications and Image Processing (VCIP), 2017 IEEE (2017) 1-4
Fingertip detection plays an important role in human computer interaction. Previous works transform binocular images into depth images. Then depth-based hand pose estimation methods are used to predict 3D positions of fingertips. Different from previ
Externí odkaz:
http://arxiv.org/abs/1804.10160
Publikováno v:
Electronic Imaging, Visual Information Processing and Communication IX (2018), pp. 251-1-251-6(6)
Accurate 3D hand pose estimation plays an important role in Human Machine Interaction (HMI). In the reality of HMI, joints in fingers stretching out, especially corresponding fingertips, are much more important than other joints. We propose a novel m
Externí odkaz:
http://arxiv.org/abs/1804.00651
Autor:
Zhao, Qiuyu, Chen, Yuhong, Xu, Wenhui, Ju, Jiaming, Zhao, Yingjie, Zhang, Meiling, Sang, Cuicui, Zhang, Cairong
Publikováno v:
In Chemical Physics Letters March 2022 790
Publikováno v:
Neurocomputing 2019
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolutional neural network, accurate hand pose estimation is still a challe
Externí odkaz:
http://arxiv.org/abs/1708.03416
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisticated design have been employed to address it, but the improvement ove
Externí odkaz:
http://arxiv.org/abs/1707.07248